The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Cardiac monocytes and macrophages after myocardial infarction
Open accessAbstract
Improvements in early interventions after acute myocardial infarction (AMI), notably, the increased use of timely reperfusion therapy, have increased survival dramatically in recent decades. Despite this, maladaptive ventricular remodelling and subsequent heart failure (HF) following AMI remain a significant clinical challenge, particularly because several pre-clinical strategies to attenuate remodelling have failed to translate into clinical practice. Monocytes and macrophages, pleiotropic cells of the innate immune system, are integral in both the initial inflammatory response to injury and subsequent wound healing in many tissues, including the heart. However, maladaptive immune cell behaviour contributes to ventricular remodelling in mouse models, prompting experimental efforts to modulate the immune response to prevent the development of HF. Seminal work in macrophage biology defined macrophages as monocyte-derived cells that are comprised of two populations, pro-inflammatory M1 macrophages and reparative M2 macrophages, and initial investigations into cardiac macrophage populations following AMI suggested they aligned well to this model. However, more recent data, in the heart and other tissues, demonstrate remarkable heterogeneity and plasticity in macrophage development, phenotype, and function. These recent insights into macrophage biology may explain the failure of non-specific immunosuppressive strategies and offer novel opportunities for therapeutic targeting to prevent HF following AMI. Here, we summarize the traditional monocyte-macrophage paradigm, experimental evidence for the significance of these cells in HF after AMI, and the potential relevance of emerging evidence that refutes canonical models of monocyte and macrophage biology.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Ahmed, A., Jorna, T., & Bhandari, S. (2016) · Nephron · doi:10.1159/000447068 · Cited by 11,717
Antiinflammatory Therapy with Canakinumab for Atherosclerotic Disease
Ridker, P. M., Everett, B. M., Thuren, T., MacFadyen, J. G., Chang, W. H., Ballantyne, C., Fonseca, F., Nicolau, J., Koenig, W., Anker, S. D., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1707914 · Cited by 9,482
Keeley, E. C., Boura, J. A., & Grines, C. L. (2003) · The Lancet · doi:10.1016/s0140-6736(03)12113-7 · Cited by 4,361
Blood Monocytes Consist of Two Principal Subsets with Distinct Migratory Properties
Geissmann, F., Jung, S., & Littman, D. R. (2003) · Immunity · doi:10.1016/s1074-7613(03)00174-2 · Cited by 3,391
M-1/M-2 Macrophages and the Th1/Th2 Paradigm
Mills, C. D., Kincaid, K., Alt, J. M., Heilman, M. J., & Hill, A. M. (2000) · The Journal of Immunology · doi:10.4049/jimmunol.164.12.6166 · Cited by 3,287
Nahrendorf, M., Swirski, F. K., Aikawa, E., Stangenberg, L., Wurdinger, T., Figueiredo, J.-L., Libby, P., Weissleder, R., & Pittet, M. J. (2007) · The Journal of Experimental Medicine · doi:10.1084/jem.20070885 · Cited by 2,300
Identification of splenic reservoir monocytes and their deployment to inflammatory sites
Swirski, F. K., Nahrendorf, M., Etzrodt, M., Wildgruber, M., Cortez-Retamozo, V., Panizzi, P., Figueiredo, J.-L., Kohler, R. H., Chudnovskiy, A., Waterman, P., et al. (2009) · Science · doi:10.1126/science.1175202 · Cited by 2,221
Transcriptome-Based Network Analysis Reveals a Spectrum Model of Human Macrophage Activation
Xue, J., Schmidt, S. V., Sander, J., Draffehn, A., Krebs, W., Quester, I., De Nardo, D., Gohel, T. D., Emde, M., Schmidleithner, L., et al. (2014) · Immunity · doi:10.1016/j.immuni.2014.01.006 · Cited by 2,210
Monitoring of Blood Vessels and Tissues by a Population of Monocytes with Patrolling Behavior
Auffray, C., Fogg, D., Garfa, M., Elain, G., Join-Lambert, O., Kayal, S., Sarnacki, S., Cumano, A., Lauvau, G., & Geissmann, F. (2007) · Science · doi:10.1126/science.1142883 · Cited by 1,973
Left Ventricular Remodeling After Myocardial Infarction: Pathophysiology and Therapy
Sutton, M. G. S. J., & Sharpe, N. (2000) · Circulation · doi:10.1161/01.cir.101.25.2981 · Cited by 1,824
Cited by
Tumor-associated macrophages: potential therapeutic strategies and future prospects in cancer
Li, C., Xu, X., Wei, S., Jiang, P., Xue, L., & Wang, J. (2021) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2020-001341 · Cited by 360
Bheri, S., Brown, M. E., Park, H.-J., Brazhkina, O., Takaesu, F., & Davis, M. E. (2023) · ACS Nano · doi:10.1021/acsnano.3c01534 · Cited by 43
Cell-cell interactions in the heart: advanced cardiac models and omics technologies
Tan, S., Yang, J., Hu, S., & Lei, W. (2024) · Stem Cell Research & Therapy · doi:10.1186/s13287-024-03982-z · Cited by 30
Yang, Y., Johnson, J., Troupes, C. D., Feldsott, E. A., Kraus, L., Megill, E., Bian, Z., Asangwe, N., Kino, T., Eaton, D. M., et al. (2023) · Redox Biology · doi:10.1016/j.redox.2023.102909 · Cited by 20
Zhang, L., Liu, Y., Wang, K., Ou, X., Zhou, J., Zhang, H., Huang, M., Du, Z., & Qiang, S. (2023) · Journal of Translational Medicine · doi:10.1186/s12967-023-04573-x · Cited by 18
Metadata
- Authors
- Peet, C., Ivetic, A., Bromage, D. I., & Shah, A. M.
- Venue
- Cardiovascular Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-12-16
- Volume
- 116
- Issue
- 6
- Pages
- 1101-1112
- ISSN
- 0008-6363 (ISSN-L)
- 1755-3245
- OpenAlex
- W2995705978
- Cited by
- 600
- References
- 80
- FWCI
- 28.85
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cardiac monocytes and macrophages after myocardial infarction. https://app.cochat.ai/papers/10.1093/cvr/cvz336
- The paper
- Peet, C., Ivetic, A., Bromage, D. I., & Shah, A. M. (2020). Cardiac monocytes and macrophages after myocardial infarction. Cardiovascular Research. https://doi.org/10.1093/cvr/cvz336
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
